Triple

T28178131
Position Surface form Disambiguated ID Type / Status
Subject Zona da Mata (Minas Gerais) E715954 entity
Predicate borders P224 FINISHED
Object Vale do Rio Doce region
The Vale do Rio Doce region is an area in eastern Minas Gerais, Brazil, historically shaped by the Rio Doce river basin and known for its mining, steel industry, and Atlantic Forest remnants.
 E1807150 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vale do Rio Doce region | Statement: [Zona da Mata (Minas Gerais), borders, Vale do Rio Doce region]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vale do Rio Doce region
Triple: [Zona da Mata (Minas Gerais), borders, Vale do Rio Doce region]
Generated description
The Vale do Rio Doce region is an area in eastern Minas Gerais, Brazil, historically shaped by the Rio Doce river basin and known for its mining, steel industry, and Atlantic Forest remnants.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69efd6b4fc5c81909dd88f01a8c2b35d completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f64280c02c819085919ec4918b2950 completed May 2, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15e6a9acf88190b4f833b819a283e3 completed May 26, 2026, 6:30 p.m.
NEDg Description generation batch_6a15e7567dc081908f4e671e88a88a57 completed May 26, 2026, 6:32 p.m.
NED2 Entity disambiguation (via description) batch_6a15e7d83f60819099641b792da90e90 completed May 26, 2026, 6:35 p.m.
Created at: April 27, 2026, 10:17 p.m.